| Kode Mata Kuliah | SB5103 / 4 SKS |
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| Penyelenggara | 224 - Sains Kebumian / FITB |
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| Kategori | Kuliah |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Analisis Data Kebumian | Earth Data Analysis |
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| Bahan Kajian | - Pendahuluan Analisis Data Kebumian
- Sinyal dan Persamaan Diferential
- Konvolusi dan Dekonvolusi, Deret Fourier dan Fourier Transform
- Analisis Sistem
- Transformasi Fourier, Transformasi Laplace dan Z
- Fungsi Transfer, Digital Filter
- Variabel Acak dan Probabilitas
- Statistika Variabel Tunggal dan Variabel Banyak
- Kontinuitas Spasial dan Variogram, Variogram Modelling
- Metoda-metoda Pemetaan
- Metoda Kriging, Konsep Co-Kriging
- Aplikasi dan Implementasi
| - Introduction to Earth Data Analysis
- Differential Signals and Equations
- Convolution and Deconvolution, Fourier Sequence and Fourier Transform
- System Analysis
- Fourier Transformation, Laplace Transformation and Z
- Transfer Function, Digital Filter
- Random Variables and Probability
- Single Variable and Multiple Variable Statistics
- Spatial Continuity and Variogram, Variogram Modeling
- Mapping Methods
- Kriging Method, Co-Kriging Concept
- Application and Implementation
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mengerti konsep dari digital sinyal analysis dan aplikasinya dalam sains kebumian
- Mengimplementasikan konsep-konsep statistik dalam persoalan ilmu kebumian.
| - Understand the concept of digital signal analysis and its application in earth science
- Implementing statistical concepts in earth science problems.
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| Metode Pembelajaran | Knowledge Based Leaning, Skill Based Learning, Problem based learning (PBL), Case-based Learning (CBL) | Knowledge Based Leaning, Skill Based Learning, Problem based learning (PBL), Case-based Learning (CBL) |
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| Modalitas Pembelajaran | Luring, Sinkron, Asinkron | Offline, Synchronous, Asynchronous |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Uraian, Presentasi, Esai, Laporan, Praktik | Description, Presentation, Essay, Report, Practice |
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| Catatan Tambahan | Jika sangat banyak hari libur nasional, dimungkinkan kuliah daring | Online classes are feasible if there are many public holidays |
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